Deployment
Private legal research layer
Model serving, document ingestion, and matter knowledge retrieval deployed on client-controlled infrastructure.
Case Study / Legal
Anonymized deployment profile based on a regulated legal workflow with strict confidentiality constraints.
Situation
Staff were drafting, summarising, and researching against sensitive documents with public AI tools because the internal alternative did not exist.
Attorney-client privilege and internal precedent data could not continue flowing through third-party systems.
A private assistant for matter summaries, internal research, and precedent retrieval with zero external data egress.
Timeline
4 weeksfrom assessment to live private drafting and retrieval workflows.
Tools Displaced
3public-AI and ad hoc knowledge workflows removed from sensitive use.
Recovered Time
9h/wkthrough faster summarisation and precedent retrieval.
Exposure Shift
Zero-egressfor matter summaries, internal research, and drafting assistance.
Deployment
Model serving, document ingestion, and matter knowledge retrieval deployed on client-controlled infrastructure.
Workflow
Internal assistants for memo drafting, clause summarisation, and precedent extraction without public API dependency.
Outcome
The firm gains AI capability without accepting structural privilege exposure or permanent external billing expansion.
Before
Lawyers were already using public tools because there was no private internal alternative with acceptable speed.
After
Research, summarisation, and drafting moved into a controlled environment with auditable boundaries and clearer governance.